A5005803062- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
- Long-Term Effects of COVID-19
- Respiratory Support and Mechanisms
- Computational Drug Discovery Methods
- Inflammasome and immune disorders
- Communication and COVID-19 Impact
- Data-Driven Disease Surveillance
- Zoonotic diseases and public health
- COVID-19 epidemiological studies
- Educational Innovations and Technology
- Immune responses and vaccinations
- Misinformation and Its Impacts
- COVID-19 diagnosis using AI
- interferon and immune responses
- Intensive Care Unit Cognitive Disorders
Bioscience Research
2021-2022
Hospital Vozandes
2020-2021
Hospital General del Sur de Quito, IESS
2020-2021
Universidad Andina Simón Bolívar
2021
Domel (Slovenia)
2021
Instituto Ecuatoriano de Enfermedades Digestivas
2020
Background: There is pressing urgency to identify therapeutic targets and drugs that allow treating COVID-19 patients effectively. Methods: We performed in silico analyses of immune system protein interactome network, single-cell RNA sequencing human tissues, artificial neural networks reveal potential for drug repurposing against COVID-19. Results: screened 1,584 high-confidence proteins ACE2 TMPRSS2 co-expressing cells, finding 25 significantly overexpressed nasal goblet secretory lung...
The growth of COVID-19 pandemic throughout more than 213 countries around the world have put a lot pressures on governments and health services to try stop rapid expansion pandemic. During 2009, H1N1 Influenza pandemic, statistical mathematical methods were used track how virus spreads countries. Most these models that developed at beginning XXI century are based classical susceptible-infected-recovered (SIR) model almost hundred years ago. evolution this allows us forecast compute basic...
Background: It is imperative to identify drugs that allow treating symptoms of severe COVID-19. Respiratory failure the main cause death in COVID-19 patients, and host inflammatory response at lungs remains poorly understood. Methods: Therefore, we retrieved data from post-mortem patients performed in-depth silico analyses single-nucleus RNA sequencing data, protein interactome network, shortest pathways physiological phenotypes reveal potential therapeutic targets advanced-stage clinical...
Introduction: The exponential growth of the SARS-CoV-2 virus transmission during first months 2020 has placed substantial pressure on health systems worldwide. complications derived from novel coronavirus disease (COVID-19) vary in due to comorbidities, sex and age, with more than 50% patients who require some level intensive care developing acute respiratory distress syndrome (ARDS). Areas covered: Various caused by infection have been identified, most lethal being syndrome, likely presence...
The provision of timely, clear, correct information is an important strategy for controlling panic and containing a pandemic outbreak. However, as this task has not been prioritized in the context SARS-CoV-2 pandemic, new lethal enemy emerged that now poses another crisis, namely, "infodemic", with consequences have affected entire population worldwide. In particular, it increased vulnerability group often discussed: children, who constitute our study population.This article provides...
There is pressing urgency to better understand the immunological underpinnings of coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome clade 2 (SARS-CoV-2) in order identify potential therapeutic targets and drugs that allow treating patients effectively. To fill this gap, we performed silico analyses immune system protein interactome network, single-cell RNA sequencing human tissues, artificial neural networks reveal for drug repurposing against COVID-19. As...
Abstract There is pressing urgency to identify drugs that allow treating COVID-19 patients effectively. Respiratory failure the leading cause of death in with severe COVID-19, and host inflammatory response at lungs remains poorly understood. Therefore, we retrieved data from postmortem performed in-depth silico analyses single-nucleus RNA sequencing data, protein interactome network, functional enrichment, shortest pathways cancer hallmark phenotypes reveal potential therapeutic targets...
At the beginning of COVID-19 pandemic, Ecuador was unprepared for overwhelming number cases. As general population started to see eff ects unproven treatments and medications were sought by try ameliorate impact pandemic. The growing demand a cure, fear dying from COVID-19, lack therapeutic rigour, pushed signifi cant people seek help outside traditional healthcare system. Doctors, pharmacists, patients prescribing or selfmedicating pharmacological products that later shown be ineff ective,...
There is pressing urgency to better understand the immunological underpinnings of coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome clade 2 (SARS-CoV-2) in order identify potential therapeutic targets and drugs that allow treating patients effectively. To fill this gap, we performed silico analyses immune system protein interactome network, single-cell RNA sequencing human tissues, artificial neural networks reveal for drug repurposing against COVID-19. As...